Instructions to use NTUHCILAB/RoomDreamingModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NTUHCILAB/RoomDreamingModel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NTUHCILAB/RoomDreamingModel", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5d3523845e74a2a8e893836e6952dbbfda7592b3f6e704f618e16fa847881eb6
- Size of remote file:
- 492 MB
- SHA256:
- 14d70c4f557382c66a7b89dc1b1ae99a173d9603238d40a5a7a63c4006a3218a
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